dbatomic commented on code in PR #45105:
URL: https://github.com/apache/spark/pull/45105#discussion_r1495181485
##########
sql/api/src/main/scala/org/apache/spark/sql/catalyst/parser/DataTypeAstBuilder.scala:
##########
@@ -58,8 +59,8 @@ class DataTypeAstBuilder extends
SqlBaseParserBaseVisitor[AnyRef] {
* Resolve/create a primitive type.
*/
override def visitPrimitiveDataType(ctx: PrimitiveDataTypeContext): DataType
= withOrigin(ctx) {
- val typeName = ctx.`type`.start.getType
- (typeName, ctx.INTEGER_VALUE().asScala.toList) match {
+ val typeCtx = ctx.`type`
+ (typeCtx.start.getType, ctx.INTEGER_VALUE().asScala.toList) match {
Review Comment:
adding @hvanhovell
We will have a meeting with Herman on Thursday to discuss how collations
play with Spark Connect.
I just gave it a quick spin and seems like we lack collation support in
spark connect even without this PR. e.g.
```
sql("select 'abc' collate 'UCS_BASIC_LCASE'")
```
gets us:
pyspark.errors.exceptions.connect.SparkConnectGrpcException:
(org.apache.spark.sql.connect.common.InvalidPlanInput) Does not support convert
string(UCS_BASIC_LCASE) to connect proto types.
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